[PDF] Top 20 A comparative study of multiple-criteria decision-making methods under stochastic inputs

... A study that focused on earlier applications of MCDM methods demonstrated that developing fuzzy MCDM methods is the upcoming trend ...MCDM methods can be found in [47,48], where it was ... See full document

... complex decision problem that needs to be considered from different perspectives by different professionals, it is also restructured into a MCDM group decision ...MCDM methods, AHP, TOPSIS, ELECTRE ... See full document

... matrix methods for evaluating and ranking of the alternative robots for a given industrial ...a decision model for robot selection based on QFD and fuzzy linear regression methods while integrating ... See full document

... between criteria and ...each criteria on the MCDM ...remaining criteria weights were kept ...of criteria weights as a percentage of allowed change (increase or decrease) for each criterion, ... See full document

... for making the green building design and improve the effectiveness and adequacy of green building ...the comparative study for the location of the photovoltaic farms in ...these methods. [201] ... See full document

... compatible decision-making methodology for equipment selection problems which will potentially lead to higher product quality, shorter production times and better resource ...this study should also ... See full document

... multi- criteria analysis. They consider a case study for the pro- blem of vegetable grafting operation ...using methods such as hedonic price techniques (Boardman and Boardman 2010) (the relationship ... See full document

... independent criteria defined by ...for study are quality of the system, Information and service ...Group decision making can be used in future for including all the stakeholders for ... See full document

... of decision making play an important role in achieving a goal in solving certain ...the decision making process requires data or supporting evidence that can be used as a guide for the ... See full document

... Multi-criteria decision-making, an important part of modern scientific decision making, focuses on solution of limited program decision making problem under the ... See full document

... mining methods in corporate decision making has been increasing in the past ...for decision making. The effective use of data mining methods to analyze various types of data has ... See full document

... The base cloud architecture used for this study is depicted in Fig. 2, and comprises three main components: the main node, standby node, and the front-end. The main node consists of a virtual machine (VM) hosted ... See full document

... three methods have different ways of capturing the evaluations of the participants and calculating the ...these methods required different inputs, their interface is necessarily ...only ... See full document

... the stochastic and fuzzy sets for OWA ...The stochastic and fuzzy sets are combined in a re- vised OWA ...proposed stochastic fuzzy ordered weighted averaging ap- ...the inputs of the approach ... See full document

... formal decision- making methods can be ...diverse Multiple-Criteria Decision-Making (MCDM) techniques for engineering problems have been published ...MCDM methods ... See full document

... Multi-objective criteria are used to determine if the result of an action is better than the result of another ...These criteria are composed of two terms: a term characteriz- ing the uncertainty ... See full document

... Multi criteria decision making method provides ranking solution to differentiate the range on the basis of product feature and product ...Multi Criteria Decision Making ... See full document

... several decision making methods for different type of ...keywords; Decision making and maintenance management with name a method each time ...common methods that are used in ... See full document

... These inputs are then sent to the ...Some methods linearize these models, but many nonlinear problems cannot be treated this way and impose the necessity to develop special techniques for action ... See full document

... Fuzzy logic applies to complete and improve EA in decision making and many other applications which include uncertainty also EA can improve fuzzy system. Fuzzy set theory and EA can cooperate together in ... See full document